IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v13y2023i5p1003-d1137997.html

How to Successfully Orchestrate Content for Digital Agriecosystems

Author

Listed:
  • Maximilian Treiber

    (Agricultural Systems Engineering, Technical University of Munich, Duernast 10, 85354 Freising, Germany
    These authors contributed equally to this work.)

  • Theresa Theunissen

    (Agricultural Systems Engineering, Technical University of Munich, Duernast 10, 85354 Freising, Germany
    These authors contributed equally to this work.)

  • Simon Grebner

    (Agricultural Systems Engineering, Technical University of Munich, Duernast 10, 85354 Freising, Germany)

  • Jan Witting

    (Agricultural Systems Engineering, Technical University of Munich, Duernast 10, 85354 Freising, Germany)

  • Heinz Bernhardt

    (Agricultural Systems Engineering, Technical University of Munich, Duernast 10, 85354 Freising, Germany)

Abstract

Since the 2000s, digital ecosystems have been affecting markets—Facebook and Uber being prominent examples. Looking at the agrisector, however, there is not yet a winner-takes-all solution in place. Instead, numerous digital agriplatforms have emerged, many of which have already failed. In the context of this study, it was revealed that reasons for such failures can be manifold, with one key challenge being the orchestration of platform content. Because, however, publicly available knowledge on this regard is limited, we decided to introduce a methodology for the evaluation of digital agriecosystem services, enabling providers to optimize their existing offering and to prioritize new services prior to implementation. By deploying our methodology to digital agriecosystems with two different application focuses (DairyChainEnergy—data agriecosystem on energy management for dairy farmers, and NEVONEX—IoT agriecosystem comprising digital services for agrimachinery), its applicability was proven. Providers of digital agriecosystems will benefit from applying this new methodology because they receive a structured decision-making process, which takes the most relevant success criteria (e.g., customer benefit, technical feasibility, and resilience) into account. Hence, a resulting prioritization of digital agriservices will guide providers in making the right implementation choices in order to successfully generate network effects on their digital agriecosystems.

Suggested Citation

  • Maximilian Treiber & Theresa Theunissen & Simon Grebner & Jan Witting & Heinz Bernhardt, 2023. "How to Successfully Orchestrate Content for Digital Agriecosystems," Agriculture, MDPI, vol. 13(5), pages 1-11, May.
  • Handle: RePEc:gam:jagris:v:13:y:2023:i:5:p:1003-:d:1137997
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/13/5/1003/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/13/5/1003/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Theresa Theunissen & Julia Keller & Heinz Bernhardt, 2023. "Mind the Market Opportunity: Digital Energy Management Services for German Dairy Farmers," Agriculture, MDPI, vol. 13(4), pages 1-13, April.
    2. Wolfert, Sjaak & Ge, Lan & Verdouw, Cor & Bogaardt, Marc-Jeroen, 2017. "Big Data in Smart Farming – A review," Agricultural Systems, Elsevier, vol. 153(C), pages 69-80.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cristina Mihale-Wilson & K. Valerie Carl, 2024. "Designing incentive systems for participation in digital ecosystems—An integrated framework," Electronic Markets, Springer;IIM University of St. Gallen, vol. 34(1), pages 1-32, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lin Xie & Biliang Luo & Wenjing Zhong, 2021. "How Are Smallholder Farmers Involved in Digital Agriculture in Developing Countries: A Case Study from China," Land, MDPI, vol. 10(3), pages 1-16, March.
    2. Oliver Falck & Johannes Koenen, 2020. "Rohstoff „Daten“: Volkswirtschaflicher Nutzen von Datenbereitstellung – eine Bestandsaufnahme," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 113, February.
    3. Hrosul, Viktoriia & Kruhlova, Olena & Kolesnyk, Alina, 2023. "Digitalization of the agricultural sector: the impact of ICT on the development of enterprises in Ukraine," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 9(4), December.
    4. Ascui, Francisco & Ball, Alex & Kahn, Lewis & Rowe, James, 2021. "Is operationalising natural capital risk assessment practicable?," Ecosystem Services, Elsevier, vol. 52(C).
    5. Huo, Dongyang & Malik, Asad Waqar & Ravana, Sri Devi & Rahman, Anis Ur & Ahmedy, Ismail, 2024. "Mapping smart farming: Addressing agricultural challenges in data-driven era," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    6. Pigford, Ashlee-Ann E. & Hickey, Gordon M. & Klerkx, Laurens, 2018. "Beyond agricultural innovation systems? Exploring an agricultural innovation ecosystems approach for niche design and development in sustainability transitions," Agricultural Systems, Elsevier, vol. 164(C), pages 116-121.
    7. Tianyu Qin & Lijun Wang & Yanxin Zhou & Liyue Guo & Gaoming Jiang & Lei Zhang, 2022. "Digital Technology-and-Services-Driven Sustainable Transformation of Agriculture: Cases of China and the EU," Agriculture, MDPI, vol. 12(2), pages 1-16, February.
    8. Viet, Nguyen Quoc & Behdani, Behzad & Bloemhof, Jacqueline, . "Value of Information to Improve Daily Operations in High-Density Logistics," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 9(01).
    9. repec:ags:areint:342110 is not listed on IDEAS
    10. Thomas M. Koutsos & Georgios C. Menexes & Andreas P. Mamolos, 2021. "The Use of Crop Yield Autocorrelation Data as a Sustainable Approach to Adjust Agronomic Inputs," Sustainability, MDPI, vol. 13(4), pages 1-17, February.
    11. Li, Lei & Lin, Jiabao & Ouyang, Ye & Luo, Xin (Robert), 2022. "Evaluating the impact of big data analytics usage on the decision-making quality of organizations," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    12. Tran, Duc Thanh & Dieu Duong, My Thi & Hoang, Hung Gia, 2025. "Perception and factors affecting farmers’ adoption of smart agriculture in Vietnam: Implications for extension strategies," World Development Perspectives, Elsevier, vol. 38(C).
    13. Panos Constantinides & Ola Henfridsson & Geoffrey G. Parker, 2018. "Introduction—Platforms and Infrastructures in the Digital Age," Information Systems Research, INFORMS, vol. 29(2), pages 381-400, June.
    14. Iban, Muzaffer Can & Aksu, Oktay, 2020. "A model for big spatial rural data infrastructure in Turkey: Sensor-driven and integrative approach," Land Use Policy, Elsevier, vol. 91(C).
    15. Ayanwale, Adeolu & Kehinde, Ayodeji D., 2025. "Determinants of use of digital innovation and its impact on land acquisition and food security among farming households in Nigeria," World Development Perspectives, Elsevier, vol. 39(C).
    16. Biswajit Lahiri & Ram Kumar Kurmi & Soibam Khogen Singh & Amitava Ghosh & Prasenjit Pal & Sannappa Thippeswamy Pavan Kumar & Chandrasekhar Nirmalkar & Anamika Debnath, 2025. "Determinants of Digitised Farm Information Outreach in Aquaculture: A Case of Mobile Phone Application for Smallholder Fish Farmers in North East India," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(4), pages 15342-15380, October.
    17. Divya Suresh & Abhishek Choudhury & Yinjia Zhang & Zhiying Zhao & Rajib Shaw, 2024. "The Role of Data-Driven Agritech Startups—The Case of India and Japan," Sustainability, MDPI, vol. 16(11), pages 1-17, May.
    18. Fengwan Zhang & Xueling Bao & Xin Deng & Dingde Xu, 2022. "Rural Land Transfer in the Information Age: Can Internet Use Affect Farmers’ Land Transfer-In?," Land, MDPI, vol. 11(10), pages 1-14, October.
    19. Simon Marvin & Lauren Rickards & Jonathan Rutherford, 2024. "The urbanisation of controlled environment agriculture: Why does it matter for urban studies?," Urban Studies, Urban Studies Journal Limited, vol. 61(8), pages 1430-1450, June.
    20. Alexander McBratney & Minhyung Park, 2025. "Agriculture over the Horizon: A Synthesis for the Mid-21st Century," Sustainability, MDPI, vol. 17(21), pages 1-20, October.
    21. Hidalgo, Francisco & Quiñones-Ruiz, Xiomara F. & Birkenberg, Athena & Daum, Thomas & Bosch, Christine & Hirsch, Patrick & Birner, Regina, 2023. "Digitalization, sustainability, and coffee. Opportunities and challenges for agricultural development," Agricultural Systems, Elsevier, vol. 208(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jagris:v:13:y:2023:i:5:p:1003-:d:1137997. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager The email address of this maintainer does not seem to be valid anymore. Please ask MDPI Indexing Manager to update the entry or send us the correct address (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.